Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ils15/pantheon-legacy --skill plan-architecturegit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ils15/pantheon-legacy/plan-architecture)<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/plan-architecture"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/plan-architecture/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ils15/pantheon-legacy/plan-architecture"><img src="https://agentmods.dev/badge/skills/ils15/pantheon-legacy/plan-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.00934 |
| Opus 5 | $0.00014 | $0.00467 |
| Sonnet 5 | $0.00005 | $0.00187 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
plan-architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Architecture Skill
When to Use
Use this skill when:
- Designing a new feature end-to-end before writing code
- Breaking down a complex change into implementation phases
- Mapping dependencies between components
- Defining API contracts between layers
- Evaluating architectural trade-offs
- Preparing a TDD-driven implementation plan
Architecture Planning Workflow
1. Understand the Requirement
Before drawing boxes:
- Identify the user-facing goal (what changes for the user?)
- Identify the system boundary (what components are touched?)
- Identify external dependencies (APIs, databases, queues, third-party services)
2. Component Breakdown
Break the feature into layers:
Request → Route/Handler → Service → Repository → Database
↓
External APIs
For each component define:
- Responsibility — single sentence
- Inputs / Outputs — types, not just names
- Error cases — what can go wrong and how it surfaces
3. Data Flow Diagram
Map the happy path first, then edge cases:
Client
│ POST /feature
▼
Handler (validates input, calls service)
│
▼
Service (business logic, orchestrates)
│ │
▼ ▼
Repo External API
│
▼
Database
4. Dependency Map
| Component | Depends On | Depended By |
|---|---|---|
| Handler | Service | Client |
| Service | Repo, External API | Handler |
| Repo | Database | Service |
5. API Contracts
Define contracts before implementation:
# Input schema
class CreateFeatureRequest(BaseModel):
name: str
config: dict[str, Any]
# Output schema
class FeatureResponse(BaseModel):
id: UUID
name: str
created_at: datetime
# Error cases
# 400 — validation error
# 404 — dependency not found
# 409 — conflict (already exists)
# 500 — upstream failure
6. Implementation Phases
Split into parallel-safe phases for TDD execution:
Phase 1 — Data layer (Demeter)
- Migration: create table
- Model: ORM class
- Repository: CRUD methods + tests
Phase 2 — Service layer (Hermes) [depends on Phase 1]
- Service class: business logic + tests
- External API client + mock tests
Phase 3 — API layer (Hermes) [depends on Phase 2]
- Route handler + tests
- Request/response schemas
Phase 4 — Frontend (Aphrodite) [can parallel Phase 2+3]
- Component tree
- API integration
- Tests
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 162 lines · 27 tokens per session scan A 493c176ca1b2
plan-architecture is a skill published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 934 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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